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InteractionPoweR  

Power Analyses for Interaction Effects in Cross-Sectional Regressions
View on CRAN: Click here


Download and install InteractionPoweR package within the R console
Install from CRAN:
install.packages("InteractionPoweR")

Install from Github:
library("remotes")
install_github("cran/InteractionPoweR")

Install by package version:
library("remotes")
install_version("InteractionPoweR", "0.2.2")



Attach the package and use:
library("InteractionPoweR")
Maintained by
David Baranger
[Scholar Profile | Author Map]
First Published: 2022-08-24
Latest Update: 2023-04-18
Description:
Power analysis for regression models which test the interaction of two independent variables on a single dependent variable. Includes options for continuous, binary, or ordinal variables, as well as correlated interacting variables. Also includes options to specify variable reliability. Power analyses can be done either analytically or via simulation. Includes tools for simulating single data sets and visualizing power analysis results. The primary functions are power_interaction_r2() and power_interaction(). Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2022). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." .
How to cite:
David Baranger (2022). InteractionPoweR: Power Analyses for Interaction Effects in Cross-Sectional Regressions. R package version 0.2.2, https://cran.r-project.org/web/packages/InteractionPoweR. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.1 (2022-08-24 17:12), 0.2.0 (2022-10-20 21:17), 0.2.1 (2023-04-18 23:50)
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View InteractionPoweR citation profile
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Complete documentation for InteractionPoweR
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